{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "In this example we will see how to use MiniSom to draw some insights from the <a href=\"https://en.wikipedia.org/wiki/Democracy_Index\">Democracy Index data</a> from Wikipedia.\n",
    "\n",
    "First, let's load the dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Patch\n",
    "%matplotlib inline\n",
    "\n",
    "from minisom import MiniSom\n",
    "from sklearn.preprocessing import minmax_scale, scale\n",
    "\n",
    "# download from wikipedia and reorganization\n",
    "import os.path\n",
    "if not os.path.isfile('democracy_index.csv'):\n",
    "    wikitables = pd.read_html('https://en.wikipedia.org/wiki/Democracy_Index',\n",
    "                              attrs={\"class\":\"sortable\"}, header=0)\n",
    "    democracy_index = wikitables[0]\n",
    "    democracy_index.columns = [c.lower().replace(' ', '_') for c in democracy_index.columns]\n",
    "    democracy_index.rename(columns={'score': 'democracy_index', \n",
    "                                    'functioning_ofgovernment': 'functioning_of_government',\n",
    "                                    'politicalparticipation': 'political_participation',\n",
    "                                    'politicalculture': 'political_culture',\n",
    "                                    'civilliberties': 'civil_liberties'}, inplace=True)\n",
    "    democracy_index.category = democracy_index.category.replace('Flawed democracy[a]', 'Flawed democracy')\n",
    "    democracy_index = democracy_index[:-1]\n",
    "    democracy_index.to_csv('democracy_index.csv')\n",
    "    print('data downloaded from Wikipedia')\n",
    "else:\n",
    "    # pre-downloaded file\n",
    "    democracy_index = pd.read_csv('democracy_index.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>rank</th>\n",
       "      <th>country</th>\n",
       "      <th>democracy_index</th>\n",
       "      <th>electoral_processand_pluralism</th>\n",
       "      <th>functioning_of_government</th>\n",
       "      <th>political_participation</th>\n",
       "      <th>political_culture</th>\n",
       "      <th>civil_liberties</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Norway</td>\n",
       "      <td>9.87</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.64</td>\n",
       "      <td>10.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.71</td>\n",
       "      <td>Full democracy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>9.58</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.29</td>\n",
       "      <td>8.89</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.71</td>\n",
       "      <td>Full democracy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>9.39</td>\n",
       "      <td>9.58</td>\n",
       "      <td>9.64</td>\n",
       "      <td>8.33</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.41</td>\n",
       "      <td>Full democracy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>9.26</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.29</td>\n",
       "      <td>8.89</td>\n",
       "      <td>8.13</td>\n",
       "      <td>10.00</td>\n",
       "      <td>Full democracy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>9.22</td>\n",
       "      <td>10.00</td>\n",
       "      <td>9.29</td>\n",
       "      <td>8.33</td>\n",
       "      <td>9.38</td>\n",
       "      <td>9.12</td>\n",
       "      <td>Full democracy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 rank      country  democracy_index  \\\n",
       "0           0    1       Norway             9.87   \n",
       "1           1    2      Iceland             9.58   \n",
       "2           2    3       Sweden             9.39   \n",
       "3           3    4  New Zealand             9.26   \n",
       "4           4    5      Denmark             9.22   \n",
       "\n",
       "   electoral_processand_pluralism  functioning_of_government  \\\n",
       "0                           10.00                       9.64   \n",
       "1                           10.00                       9.29   \n",
       "2                            9.58                       9.64   \n",
       "3                           10.00                       9.29   \n",
       "4                           10.00                       9.29   \n",
       "\n",
       "   political_participation  political_culture  civil_liberties        category  \n",
       "0                    10.00              10.00             9.71  Full democracy  \n",
       "1                     8.89              10.00             9.71  Full democracy  \n",
       "2                     8.33              10.00             9.41  Full democracy  \n",
       "3                     8.89               8.13            10.00  Full democracy  \n",
       "4                     8.33               9.38             9.12  Full democracy  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "democracy_index.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see the dataset contains a set of of social metrics related to the democracy level for each country. The goal is to use these metrics as features for our SOM so that we can create a bidimensional space where each country is mapped according to their democracity level.\n",
    "\n",
    "Let's define a set of color for the categories in which the countries are classified and also a country codes for each country. These will become handy when we will visualize the results on the map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "category_color = {'Full democracy': 'darkgreen',\n",
    "                  'Flawed democracy': 'limegreen',\n",
    "                  'Hybrid regime': 'darkorange',\n",
    "                  'Authoritarian': 'crimson'}\n",
    "colors_dict = {c: category_color[dm] for c, dm in zip(democracy_index.country,\n",
    "                                                      democracy_index.category)}\n",
    "\n",
    "country_codes = {'Afghanistan': 'AF',\n",
    " 'Albania': 'AL',\n",
    " 'Algeria': 'DZ',\n",
    " 'Angola': 'AO',\n",
    " 'Argentina': 'AR',\n",
    " 'Armenia': 'AM',\n",
    " 'Australia': 'AU',\n",
    " 'Austria': 'AT',\n",
    " 'Azerbaijan': 'AZ',\n",
    " 'Bahrain': 'BH',\n",
    " 'Bangladesh': 'BD',\n",
    " 'Belarus': 'BY',\n",
    " 'Belgium': 'BE',\n",
    " 'Benin': 'BJ',\n",
    " 'Bhutan': 'BT',\n",
    " 'Bolivia': 'BO',\n",
    " 'Bosnia and Herzegovina': 'BA',\n",
    " 'Botswana': 'BW',\n",
    " 'Brazil': 'BR',\n",
    " 'Bulgaria': 'BG',\n",
    " 'Burkina Faso': 'BF',\n",
    " 'Burundi': 'BI',\n",
    " 'Cambodia': 'KH',\n",
    " 'Cameroon': 'CM',\n",
    " 'Canada': 'CA',\n",
    " 'Cape Verde': 'CV',\n",
    " 'Central African Republic': 'CF',\n",
    " 'Chad': 'TD',\n",
    " 'Chile': 'CL',\n",
    " 'China': 'CN',\n",
    " 'Colombia': 'CO',\n",
    " 'Comoros': 'KM',\n",
    " 'Costa Rica': 'CR',\n",
    " 'Croatia': 'HR',\n",
    " 'Cuba': 'CU',\n",
    " 'Cyprus': 'CY',\n",
    " 'Czech Republic': 'CZ',\n",
    " 'Democratic Republic of the Congo': 'CD',\n",
    " 'Denmark': 'DK',\n",
    " 'Djibouti': 'DJ',\n",
    " 'Dominican Republic': 'DO',\n",
    " 'Ecuador': 'EC',\n",
    " 'Egypt': 'EG',\n",
    " 'El Salvador': 'SV',\n",
    " 'Equatorial Guinea': 'GQ',\n",
    " 'Eritrea': 'ER',\n",
    " 'Estonia': 'EE',\n",
    " 'Ethiopia': 'ET',\n",
    " 'Fiji': 'FJ',\n",
    " 'Finland': 'FI',\n",
    " 'France': 'FR',\n",
    " 'Gabon': 'GA',\n",
    " 'Gambia': 'GM',\n",
    " 'Georgia': 'GE',\n",
    " 'Germany': 'DE',\n",
    " 'Ghana': 'GH',\n",
    " 'Greece': 'GR',\n",
    " 'Guatemala': 'GT',\n",
    " 'Guinea': 'GN',\n",
    " 'Guinea-Bissau': 'GW',\n",
    " 'Guyana': 'GY',\n",
    " 'Haiti': 'HT',\n",
    " 'Honduras': 'HN',\n",
    " 'Hong Kong': 'HK',\n",
    " 'Hungary': 'HU',\n",
    " 'Iceland': 'IS',\n",
    " 'India': 'IN',\n",
    " 'Indonesia': 'ID',\n",
    " 'Iran': 'IR',\n",
    " 'Iraq': 'IQ',\n",
    " 'Ireland': 'IE',\n",
    " 'Israel': 'IL',\n",
    " 'Italy': 'IT',\n",
    " 'Ivory Coast': 'IC',\n",
    " 'Jamaica': 'JM',\n",
    " 'Japan': 'JP',\n",
    " 'Jordan': 'JO',\n",
    " 'Kazakhstan': 'KZ',\n",
    " 'Kenya': 'KE',\n",
    " 'Kuwait': 'KW',\n",
    " 'Kyrgyzstan': 'KG',\n",
    " 'Laos': 'LA',\n",
    " 'Latvia': 'LV',\n",
    " 'Lebanon': 'LB',\n",
    " 'Lesotho': 'LS',\n",
    " 'Liberia': 'LR',\n",
    " 'Libya': 'LY',\n",
    " 'Lithuania': 'LT',\n",
    " 'Luxembourg': 'LU',\n",
    " 'Macedonia': 'MK',\n",
    " 'Madagascar': 'MG',\n",
    " 'Malawi': 'MW',\n",
    " 'Malaysia': 'MY',\n",
    " 'Mali': 'ML',\n",
    " 'Malta': 'MT',\n",
    " 'Mauritania': 'MR',\n",
    " 'Mauritius': 'MU',\n",
    " 'Mexico': 'MX',\n",
    " 'Moldova': 'MD',\n",
    " 'Mongolia': 'MN',\n",
    " 'Montenegro': 'ME',\n",
    " 'Morocco': 'MA',\n",
    " 'Mozambique': 'MZ',\n",
    " 'Myanmar': 'MM',\n",
    " 'Namibia': 'NA',\n",
    " 'Nepal': 'NP',\n",
    " 'Netherlands': 'NL',\n",
    " 'New Zealand': 'NZ',\n",
    " 'North Macedonia': 'NM',\n",
    " 'Nicaragua': 'NI',\n",
    " 'Niger': 'NE',\n",
    " 'Nigeria': 'NG',\n",
    " 'North Korea': 'KP',\n",
    " 'Norway': 'NO',\n",
    " 'Oman': 'OM',\n",
    " 'Pakistan': 'PK',\n",
    " 'Palestine': 'PS',\n",
    " 'Panama': 'PA',\n",
    " 'Papua New Guinea': 'PG',\n",
    " 'Paraguay': 'PY',\n",
    " 'Peru': 'PE',\n",
    " 'Philippines': 'PH',\n",
    " 'Poland': 'PL',\n",
    " 'Portugal': 'PT',\n",
    " 'Qatar': 'QA',\n",
    " 'Republic of China (Taiwan)': 'TW',\n",
    " 'Republic of the Congo': 'CG',\n",
    " 'Romania': 'RO',\n",
    " 'Russia': 'RU',\n",
    " 'Rwanda': 'RW',\n",
    " 'Saudi Arabia': 'SA',\n",
    " 'Senegal': 'SN',\n",
    " 'Serbia': 'RS',\n",
    " 'Sierra Leone': 'SL',\n",
    " 'Singapore': 'SG',\n",
    " 'Slovakia': 'SK',\n",
    " 'Slovenia': 'SI',\n",
    " 'South Africa': 'ZA',\n",
    " 'South Korea': 'KR',\n",
    " 'Spain': 'ES',\n",
    " 'Sri Lanka': 'LK',\n",
    " 'Sudan': 'SD',\n",
    " 'Suriname': 'SR',\n",
    " 'Swaziland': 'SZ',\n",
    " 'Sweden': 'SE',\n",
    " 'Switzerland': 'CH',\n",
    " 'Syria': 'SY',\n",
    " 'Tajikistan': 'TJ',\n",
    " 'Tanzania': 'TZ',\n",
    " 'Thailand': 'TH',\n",
    " 'Timor-Leste': 'TL',\n",
    " 'Togo': 'TG',\n",
    " 'Trinidad and Tobago': 'TT',\n",
    " 'Tunisia': 'TN',\n",
    " 'Turkey': 'TR',\n",
    " 'Turkmenistan': 'TM',\n",
    " 'Uganda': 'UG',\n",
    " 'Ukraine': 'UA',\n",
    " 'United Arab Emirates': 'AE',\n",
    " 'United Kingdom': 'GB',\n",
    " 'United States': 'US',\n",
    " 'Uruguay': 'UY',\n",
    " 'Uzbekistan': 'UZ',\n",
    " 'Venezuela': 'VE',\n",
    " 'Vietnam': 'VN',\n",
    " 'Yemen': 'YE',\n",
    " 'Zambia': 'ZM',\n",
    " 'Zimbabwe': 'ZW'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are now ready 1) isolate our features, 2) scale the feature and train our SOM:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      " quantization error: 0.4245385409165895\n"
     ]
    }
   ],
   "source": [
    "feature_names = ['democracy_index', 'electoral_processand_pluralism', 'functioning_of_government',\n",
    "                 'political_participation', 'political_culture', 'civil_liberties']\n",
    "\n",
    "X = democracy_index[feature_names].values\n",
    "X = scale(X)\n",
    "\n",
    "size = 15\n",
    "som = MiniSom(size, size, len(X[0]),\n",
    "              neighborhood_function='gaussian', sigma=1.5,\n",
    "              random_seed=1)\n",
    "\n",
    "som.pca_weights_init(X)\n",
    "som.train_random(X, 1000, verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A social map of countries\n",
    "----\n",
    "\n",
    "Here we will plot each country in a cell that represent the winning neuron on the SOM. The country codes will be used instead of the full names of the countries to make the map more readable. The name of the countries will be colored according to their democracy status."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def shorten_country(c):\n",
    "    if len(c) > 6:\n",
    "        return country_codes[c]\n",
    "    else:\n",
    "        return c\n",
    "\n",
    "country_map = som.labels_map(X, democracy_index.country)\n",
    "    \n",
    "plt.figure(figsize=(14, 14))\n",
    "for p, countries in country_map.items():\n",
    "    countries = list(countries)\n",
    "    x = p[0] + .1\n",
    "    y = p[1] - .3\n",
    "    for i, c in enumerate(countries):\n",
    "        off_set = (i+1)/len(countries) - 0.05\n",
    "        plt.text(x, y+off_set, shorten_country(c), color=colors_dict[c], fontsize=10)\n",
    "plt.pcolor(som.distance_map().T, cmap='gray_r', alpha=.2)\n",
    "plt.xticks(np.arange(size+1))\n",
    "plt.yticks(np.arange(size+1))\n",
    "plt.grid()\n",
    "\n",
    "legend_elements = [Patch(facecolor=clr,\n",
    "                         edgecolor='w',\n",
    "                         label=l) for l, clr in category_color.items()]\n",
    "plt.legend(handles=legend_elements, loc='center left', bbox_to_anchor=(1, .95))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Features planes\n",
    "----\n",
    "\n",
    "Here we will create a map for each feature used that reflects the magnitude of the weights associated to it for each neuron."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZfWClsmJR/rSMDS3JjtnevyI7ZuvYouyY+3YNZcfcu7U3O2b3nhkXlxlNjOfH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\n",
      "text/plain": [
       "<Figure size 720x720 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "W = som.get_weights()\n",
    "plt.figure(figsize=(10, 10))\n",
    "for i, f in enumerate(feature_names):\n",
    "    plt.subplot(3, 3, i+1)\n",
    "    plt.title(f)\n",
    "    plt.pcolor(W[:,:,i].T, cmap='coolwarm')\n",
    "    plt.xticks(np.arange(size+1))\n",
    "    plt.yticks(np.arange(size+1))\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most relevant feature plane\n",
    "----\n",
    "\n",
    "In this map we associate each neuron to the feature with the maximum weight. This segments our map in regions where specific features have high values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BRUVFl90LsWLFimPN5cAxKKYAAOAn47HHHit77LHHyjpy7Pbt21u9DxOOx6V8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\nMATBFACAIQimAAAM4X8BfhQZGnuyB4UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Z = np.zeros((size, size))\n",
    "plt.figure(figsize=(8, 8))\n",
    "for i in np.arange(som._weights.shape[0]):\n",
    "    for j in np.arange(som._weights.shape[1]):\n",
    "        feature = np.argmax(W[i, j , :])\n",
    "        plt.plot([j+.5], [i+.5], 'o', color='C'+str(feature),\n",
    "                 marker='s', markersize=24)\n",
    "\n",
    "legend_elements = [Patch(facecolor='C'+str(i),\n",
    "                         edgecolor='w',\n",
    "                         label=f) for i, f in enumerate(feature_names)]\n",
    "\n",
    "plt.legend(handles=legend_elements,\n",
    "           loc='center left',\n",
    "           bbox_to_anchor=(1, .95))\n",
    "        \n",
    "plt.xlim([0, size])\n",
    "plt.ylim([0, size])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
